Bruhadeshwar Bezawada Source Confirmed

OverviewAI-generated summary

Bruhadeshwar Bezawada's research focuses on developing and evaluating methods for detecting and mitigating security threats in digital systems, particularly in the areas of mobile applications and phishing. His work has explored the use of multimodal deep learning frameworks, such as SHIELD, for Android malware detection. Bezawada has also investigated adaptive and privacy-preserving techniques for phishing detection, including adaptive sampling attacks and privacy-preserving IoT device-type fingerprinting. His publications address the verification of app capabilities from descriptions to permissions and API calls, as well as the assessment of privacy risks associated with image and video data in mobile cloud computing and collaborative deep learning environments. Bezawada holds a h-index of 18 with over 1,200 citations across 60 publications, indicating recent and ongoing activity in his research areas.

Metrics

• h-index: 18
• Publications: 60
• Citations: 1,227